{"id":"https://openalex.org/W4388426098","doi":"https://doi.org/10.1109/dsaa60987.2023.10302626","title":"HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks","display_name":"HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks","publication_year":2023,"publication_date":"2023-10-09","ids":{"openalex":"https://openalex.org/W4388426098","doi":"https://doi.org/10.1109/dsaa60987.2023.10302626"},"language":"en","primary_location":{"id":"doi:10.1109/dsaa60987.2023.10302626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa60987.2023.10302626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100730103","display_name":"Jiaxi Li","orcid":"https://orcid.org/0000-0003-3941-8554"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Jiaxi Li","raw_affiliation_strings":["University of Technology Sydney,Sydney,Australia","University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology Sydney,Sydney,Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039104219","display_name":"Guansong Pang","orcid":"https://orcid.org/0000-0002-9877-2716"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Guansong Pang","raw_affiliation_strings":["Singapore Management University Singapore,Singapore,178902"],"affiliations":[{"raw_affiliation_string":"Singapore Management University Singapore,Singapore,178902","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069988750","display_name":"Ling Chen","orcid":"https://orcid.org/0000-0002-6468-5729"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ling Chen","raw_affiliation_strings":["University of Technology Sydney,Sydney,Australia","University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology Sydney,Sydney,Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041350932","display_name":"Mohammad\u2010Reza Namazi\u2010Rad","orcid":"https://orcid.org/0000-0003-1941-9445"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mohammad-Reza Namazi-Rad","raw_affiliation_strings":["University of Wollongong,Wollongong,Australia","University of Wollongong, Wollongong, Australia"],"affiliations":[{"raw_affiliation_string":"University of Wollongong,Wollongong,Australia","institution_ids":["https://openalex.org/I204824540"]},{"raw_affiliation_string":"University of Wollongong, Wollongong, Australia","institution_ids":["https://openalex.org/I204824540"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100730103"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":1.5975,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84696814,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8022071123123169},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6414390206336975},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4915188252925873},{"id":"https://openalex.org/keywords/heterogeneous-network","display_name":"Heterogeneous network","score":0.4637971520423889},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4498341977596283},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4088521897792816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3477473258972168},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3288625478744507},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.11150804162025452}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8022071123123169},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6414390206336975},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4915188252925873},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.4637971520423889},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4498341977596283},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4088521897792816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3477473258972168},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3288625478744507},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.11150804162025452},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dsaa60987.2023.10302626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa60987.2023.10302626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"},{"id":"pmh:oai:ro.uow.edu.au:test2021-16518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/DSAA60987.2023.10302626","pdf_url":null,"source":{"id":"https://openalex.org/S4306400510","display_name":"Research Online (University of Wollongong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I204824540","host_organization_name":"University of Wollongong","host_organization_lineage":["https://openalex.org/I204824540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Harvesting Series","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5799999833106995,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W2116341502","https://openalex.org/W2284900416","https://openalex.org/W2606780347","https://openalex.org/W2743104969","https://openalex.org/W2803697594","https://openalex.org/W2884134047","https://openalex.org/W2903799441","https://openalex.org/W2911286998","https://openalex.org/W2914721378","https://openalex.org/W2950898568","https://openalex.org/W2952343887","https://openalex.org/W2963707260","https://openalex.org/W2965857891","https://openalex.org/W2966971704","https://openalex.org/W2970266365","https://openalex.org/W2977707586","https://openalex.org/W3004507689","https://openalex.org/W3012871709","https://openalex.org/W3035719901","https://openalex.org/W3040266635","https://openalex.org/W3095602948","https://openalex.org/W3095746859","https://openalex.org/W3100178186","https://openalex.org/W3103513278","https://openalex.org/W3108202858","https://openalex.org/W3117562715","https://openalex.org/W3135550350","https://openalex.org/W3152893301","https://openalex.org/W3154503084","https://openalex.org/W3167553825","https://openalex.org/W3168943432","https://openalex.org/W3170081951","https://openalex.org/W3170851865","https://openalex.org/W3194768773","https://openalex.org/W3214309058","https://openalex.org/W4213224406","https://openalex.org/W4284688717","https://openalex.org/W4311079930","https://openalex.org/W4379251647","https://openalex.org/W4386798100","https://openalex.org/W6690815549","https://openalex.org/W6736685754","https://openalex.org/W6751494907","https://openalex.org/W6784694379","https://openalex.org/W6786252251","https://openalex.org/W6795898371","https://openalex.org/W7037116381","https://openalex.org/W7075996705"],"related_works":["https://openalex.org/W1927327903","https://openalex.org/W1544665982","https://openalex.org/W2022479666","https://openalex.org/W2805504328","https://openalex.org/W4248847438","https://openalex.org/W2509090697","https://openalex.org/W1953159635","https://openalex.org/W4238131711","https://openalex.org/W3019690831","https://openalex.org/W2105642232"],"abstract_inverted_index":{"This":[0],"work":[1],"considers":[2],"the":[3,33,66,87,113,117,158],"problem":[4],"of":[5,21,46,160],"heterogeneous":[6,40,74,81],"graph-level":[7],"anomaly":[8,145],"detection.":[9],"Heterogeneous":[10,101],"graphs":[11,41,49],"are":[12],"commonly":[13],"used":[14],"to":[15,78,156],"represent":[16],"behaviours":[17],"between":[18,83],"different":[19,84],"types":[20,126],"entities":[22,85,119],"in":[23,86,162,169],"complex":[24,80],"industrial":[25,153],"systems":[26],"for":[27,52,89],"capturing":[28],"as":[29,36],"much":[30],"information":[31],"about":[32],"system":[34,47,88,118],"operations":[35],"possible.":[37],"Detecting":[38],"anomalous":[39,93,164],"from":[42],"a":[43,98,151,170],"large":[44],"set":[45],"behaviour":[48,94],"is":[50,175],"crucial":[51],"many":[53],"real-world":[54,136,152],"applications":[55],"like":[56],"online":[57],"web/mobile":[58],"service":[59],"and":[60,120,127],"cloud":[61],"access":[62],"control.":[63],"To":[64],"address":[65],"problem,":[67],"we":[68],"propose":[69],"HRGCN,":[70],"an":[71],"unsupervised":[72],"deep":[73],"graph":[75,109],"neural":[76],"network,":[77],"model":[79],"relations":[82],"effectively":[90],"identifying":[91],"these":[92],"graphs.":[95],"HRGCN":[96,141,161,174],"trains":[97],"hierarchical":[99],"relation-augmented":[100],"Graph":[102],"Neural":[103],"Network":[104],"(HetGNN),":[105],"which":[106],"learns":[107],"better":[108],"representations":[110],"by":[111],"modelling":[112],"interactions":[114],"among":[115],"all":[116],"considering":[121],"both":[122],"source-to-destination":[123],"entity":[124],"(node)":[125],"their":[128],"relation":[129],"(edge)":[130],"types.":[131],"Extensive":[132],"evaluation":[133],"on":[134],"two":[135],"application":[137],"datasets":[138],"shows":[139],"that":[140],"outperforms":[142],"state-of-the-art":[143],"competing":[144],"detection":[146],"approaches.":[147],"We":[148],"further":[149],"present":[150],"case":[154],"study":[155],"justify":[157],"effectiveness":[159],"detecting":[163],"(e.g.,":[165],"congested)":[166],"network":[167],"devices":[168],"mobile":[171],"communication":[172],"service.":[173],"available":[176],"at":[177],"https://github.com/jiaxililearn/HRGCN.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}